Brian Hassell
Impact in
- Infectious Diseases top 10%
- Clostridium difficile and Clostridium perfringens research
- Viral gastroenteritis research and epidemiology
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- Gut microbiota and health
- Extracellular vesicles in disease
Papers in
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- Gut microbiota and health 3
- Genomics and Phylogenetic Studies 1
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- Autophagy in Disease and Therapy 2
- Mycobacterium research and diagnosis 1
- Co-authors
- Lora V. Hooper (6 shared papers)Sebastian Winter (2 shared papers)Kelly A. Ruhn (5 shared papers)Yuhao Wang (3 shared papers)Mihir Pendse (3 shared papers)Shai Bel (2 shared papers)Yun Li (1 shared paper)Ramnik J. Xavier (1 shared paper)
- Journals
- Science (3 papers)Proceedings of the National Academy of Sciences (1 paper)eLife (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Brian Hassell
6 papers receiving 605 citations
Brian Hassell's Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 110
- Molecular Biology 331
- Endocrinology 24
- Epidemiology 145
- Biological Psychiatry 10
Countries citing papers authored by Brian Hassell
This map shows the geographic impact of Brian Hassell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian Hassell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Hassell more than expected).
Fields of papers citing papers by Brian Hassell
This network shows the impact of papers produced by Brian Hassell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian Hassell. The network helps show where Brian Hassell may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Hassell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Paneth cells secrete lysozyme via secretory autophagy during bacterial infection of the intestine Hit paper breakdown → | 2017 | 294 |
| 2 | 2018 | 130 | |
| 3 | The gut microbiota reprograms intestinal lipid metabolism through long noncoding RNA Snhg9 Hit paper breakdown → | 2023 | 114 |
| 4 | 2021 | 61 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 1 |
About Brian Hassell
Brian Hassell is a scholar working on Molecular Biology, Epidemiology, Ecology, Cell Biology and Nutrition and Dietetics, having authored 6 papers that have together received 613 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Autophagy in Disease and Therapy (2 papers), Infant Nutrition and Health (1 paper), Genomics and Phylogenetic Studies (1 paper), Mycobacterium research and diagnosis (1 paper), Inflammation biomarkers and pathways (1 paper), Vibrio bacteria research studies (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Infectious Diseases (110 citations), Molecular Biology (331 citations), Endocrinology (24 citations), Epidemiology (145 citations) and Biological Psychiatry (10 citations). Brian Hassell has collaborated with scholars based in United States and China. Frequent co-authors include Lora V. Hooper, Sebastian Winter, Kelly A. Ruhn, Yuhao Wang, Mihir Pendse, Shai Bel, Yun Li, Ramnik J. Xavier, David Páez-Espino and Manuel Kleiner. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences, eLife and Nature Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.